{"product_id":"applied-time-series-analysis-for-the-social-sciences-hardcover","title":"Applied Time Series Analysis for the Social Sciences - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRegina Baker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplines \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eApplied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference\u003c\/i\u003e delivers an accessible guide to time series analysis that includes both theory and practice. The coverage spans developments from ARIMA intervention models and generalized least squares to the London School of Economics (LSE) approach and vector autoregression. Designed to break difficult concepts into manageable pieces while offering plenty of examples and exercises, the author demonstrates the use of lag operator algebra throughout to provide a better understanding of dynamic specification and the connections between model specifications that appear to be more different than they are. \u003c\/p\u003e \u003cp\u003eThe book is ideal for those with minimal mathematical experience, intended to follow a course in multiple regression, and includes exercises designed to build general skills such as mathematical expectation calculations to derive means and variances. Readers will also benefit from the inclusion of: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA focus on social science applications and a mix of theory and detailed examples provided throughout \u003c\/li\u003e \u003cli\u003eAn accompanying website with data sets and examples in Stata, SAS and R \u003c\/li\u003e \u003cli\u003eA simplified unit root testing strategy based on recent developments \u003c\/li\u003e \u003cli\u003eAn examination of various uses and interpretations of lagged dependent variables and the common pitfalls students and researchers face in this area \u003c\/li\u003e \u003cli\u003eAn introduction to LSE methodology such as the COMFAC critique, general-to-specific modeling, and the use of forecasting to evaluate and test models \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for students and professional researchers in the political sciences, public policy, sociology, and economics, \u003ci\u003eApplied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference \u003c\/i\u003ewill also earn a place in the libraries of post graduate students and researchers in public health, public administration and policy, and education. \u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEXPLORE THIS INDISPENSABLE AND COMPREHENSIVE GUIDE TO TIME SERIES ANALYSIS FOR STUDENTS AND PRACTITIONERS IN A WIDE VARIETY OF DISCIPLINES\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference\u003c\/i\u003e delivers an accessible guide to time series analysis that includes both theory and practice. The coverage spans developments from ARIMA intervention models and generalized least squares to the London School of Economics (LSE) approach and vector autoregression. Designed to break difficult concepts into manageable pieces while offering plenty of examples and exercises, the author demonstrates the use of lag operator algebra throughout to provide a better understanding of dynamic specification and the connections between model specifications that appear to be more different than they are. \u003c\/p\u003e\u003cp\u003eThe book is ideal for those with minimal mathematical experience, intended to follow a course in multiple regression, and includes exercises designed to build general skills such as mathematical expectation calculations to derive means and variances. Readers will also benefit from the inclusion of: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e A focus on social science applications and a mix of theory and detailed examples provided throughout\u003c\/li\u003e\n\u003cli\u003e An accompanying website with data sets and examples in Stata, SAS and R \u003c\/li\u003e\n\u003cli\u003e A simplified unit root testing strategy based on recent developments \u003c\/li\u003e\n\u003cli\u003e An examination of various uses and interpretations of lagged dependent variables and the common pitfalls students and researchers face in this area\u003c\/li\u003e\n\u003cli\u003e An introduction to LSE methodology such as the COMFAC critique, general-to-specific modeling, and the use of forecasting to evaluate and test models\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for students and professional researchers in the political sciences, public policy, sociology, and economics, \u003ci\u003eApplied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference\u003c\/i\u003e will also earn a place in the libraries of post graduate students and researchers in public health, public administration and policy, and education.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eREGINA M. BAKER\u003c\/b\u003e has extensive experience teaching a time series course for the Inter-University Consortium for Political and Social Research summer program, the University of Oregon and the University of Notre Dame.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 240\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 18, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53301176828211,"sku":"9780470749937","price":122.2,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/gI-P1_c6DU9780470749937.webp?v=1777507619","url":"https:\/\/www.vysn.com\/en-ca\/products\/applied-time-series-analysis-for-the-social-sciences-hardcover","provider":"VYSN","version":"1.0","type":"link"}